Update stat_method_tbl based on 1fa243c to include all completed articles, capitalise Python

Author: michaelwalshe

data/stat_method_tbl.csv

@@ -1,15 +1,16 @@
 method_grp,method_subgrp,r_links,sas_links,python_links,comparison_links
-Summary Statistics,Rounding,[R](R/rounding),[SAS](SAS/rounding),[python](python/Rounding),[R vs SAS](Comp/r-sas_rounding)
-Summary Statistics,Summary statistics,[R](R/summary-stats),[SAS](SAS/summary-stats),[python](python/Summary_statistics),[R vs SAS](Comp/r-sas-summary-stats)
+Summary Statistics,Rounding,[R](R/rounding),[SAS](SAS/rounding),[Python](python/Rounding),[R vs SAS](Comp/r-sas_rounding)
+Summary Statistics,Summary statistics,[R](R/summary-stats),[SAS](SAS/summary-stats),[Python](python/Summary_statistics),[R vs SAS](Comp/r-sas-summary-stats)
+Summary Statistics,Skewness/Kurtosis,[R](R/summary_skew_kurt),[SAS](SAS/summary_skew_kurt),,[R vs SAS](Comp/r-sas_summary_skew_kurt)
 General Linear Models,One Sample t-test,[R](R/ttest_1Sample),[SAS](SAS/ttest_1Sample),,[R vs SAS](Comp/r-sas_ttest_1Sample)
 General Linear Models,Paired t-test,[R](R/ttest_Paired),[SAS](SAS/ttest_Paired),,[R vs SAS](Comp/r-sas_ttest_Paired)
-General Linear Models,Two Sample t-test,,[SAS](SAS/ttest_2Sample),,
+General Linear Models,Two Sample t-test,[R](R/ttest_2Sample),[SAS](SAS/ttest_2Sample),,[R vs SAS](Comp/r-sas_ttest_2Sample)
 General Linear Models,ANOVA,[R](R/anova),[SAS](SAS/anova),,[R vs SAS](Comp/r-sas_anova)
-General Linear Models,ANCOVA,[R](R/ancova),[SAS](SAS/ancova),,
+General Linear Models,ANCOVA,[R](R/ancova),[SAS](SAS/ancova),,[R vs SAS](Comp/r-sas_ancova)
 General Linear Models,MANOVA,[R](R/manova),[SAS](SAS/manova),,[R vs SAS](Comp/r-sas_manova)
 General Linear Models,Linear Regression,[R](R/linear-regression),[SAS](SAS/linear-regression),,[R vs SAS](Comp/r-sas_linear-regression)
 Generalized Linear Models,Logistic Regression,[R](R/logistic_regr),[SAS](SAS/logistic-regr),,
-Generalized Linear Models,Poisson/Negative Binomial Regression,,,,
+Generalized Linear Models,Poisson/Negative Binomial Regression,[R](R/count_data_regression),,,
 Generalized Linear Models,Categorical Repeated Measures,,,,
 Generalized Linear Models,Categorical Multiple Imputation,,,,
 Non-parametric Analysis,Wilcoxon signed rank,,,,
@@ -23,11 +24,12 @@ Categorical Data Analysis,McNemar's test,[R](R/mcnemar),[SAS](SAS/mcnemar),,[R v
 Categorical Data Analysis,Chi-Square Association/Fishers exact,[R](R/association),,,[R vs SAS](Comp/r-sas_chi-sq)
 Categorical Data Analysis,Cochran Mantel Haenszel,[R](R/cmh),[SAS](SAS/cmh),,[R vs SAS](Comp/r-sas_cmh)
 Categorical Data Analysis,Confidence Intervals for proportions,,,,
-Linear Mixed Models,MMRM,[R](R/mmrm),[SAS](SAS/mmrm),,[R vs SAS](Comp/r-sas_mmrm)
-Generalized Linear Mixed Models,MMRM,,,,
+Repeated Measures,Linear Mixed Model (MMRM),[R](R/mmrm),[SAS](SAS/mmrm),,[R vs SAS](Comp/r-sas_mmrm)
+Repeated Measures,Generalized Linear Mixed Model (MMRM),,,,
+Repeated Measures,Bayesian MMRM,,,,
 Multiple Imputation - Continuous Data MAR,MCMC,,,,
-Multiple Imputation - Continuous Data MAR,Linear regression,,,,
-Multiple Imputation - Continuous Data MAR,Predictive Mean Matching,,,,
+Multiple Imputation - Continuous Data MAR,Linear regression,[R](R/mi_mar_regression),,,
+Multiple Imputation - Continuous Data MAR,Predictive Mean Matching,[R](R/mi_mar_predictive_mean_match),,,
 Multiple Imputation - Continuous Data MAR,Propensity Scores,,,,
 Multiple Imputation - Continuous Data MNAR,Delta Adjustment/Tipping Point,,,,
 Multiple Imputation - Continuous Data MNAR,Reference-Based Imputation/Sequential Methods,,,,
@@ -43,7 +45,7 @@ Multivariate methods,Factor analysis,,,,
 Multivariate methods,PCA,,,,
 Multivariate methods,Canonical correlation,,,,
 Multivariate methods,PLS,,,,
-Other Methods,Survey statistics,,,,
+Other Methods,Survey statistics,[R](R/survey-stats-summary),[SAS](SAS/survey-stats-summary),,[R vs SAS](Comp/r-sas_survey-stats-summary)
 Other Methods,Nearest neighbour,,,,
 Other Methods,Causal inference,,,,
 Other Methods,Machine learning,,,,

index.qmd

@@ -41,7 +41,7 @@ gt(method_tbl, groupname_col = "method_grp",
     cols_label(method_subgrp = "Methods", 
                r_links = "R", 
                sas_links = "SAS", 
-               python_links = "python",
+               python_links = "Python",
                comparison_links = "Comparison") |>
   tab_stubhead("Methods")